Instructions to use DaRkSpyro/CarlaRio2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use DaRkSpyro/CarlaRio2 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("DaRkSpyro/CarlaRio2") - Notebooks
- Google Colab
- Kaggle
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Download README.md from DaRkSpyro/CarlaRio2: direct link, hf CLI and curl.
- Browser
- Download file 133 Bytes
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https://huggingface.co/DaRkSpyro/CarlaRio2/resolve/main/README.md
- Command line
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hf download hf://DaRkSpyro/CarlaRio2/README.md
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curl -L -o README.md https://huggingface.co/DaRkSpyro/CarlaRio2/resolve/main/README.md
133 Bytes
metadata
license: apache-2.0
datasets:
- HuggingFaceTB/cosmopedia
language:
- en
metrics:
- accuracy
library_name: flair
tags:
- music